Evaluation of soil liquefaction potential using energy approach: experimental and statistical investigation

被引:0
|
作者
Hamed Javdanian
机构
[1] Shahrekord University,Department of Civil Engineering
关键词
Liquefaction; Earthquake; Strain energy; Cyclic triaxial test; GMDH;
D O I
暂无
中图分类号
学科分类号
摘要
Liquefaction has caused many catastrophes during earthquakes in the past . The strain energy-based method is one of the modern methods used to estimate liquefaction potential. In this study, wide-ranging experimental data were gathered from cyclic tests and centrifuge modeling of liquefaction. A model was then developed based on the strain energy needed for liquefaction to occur using the group method of data handling and the gravitational search algorithm. Contributions of the effective variables were evaluated through a sensitivity analysis. To check the accuracy of the developed strain energy model, cyclic triaxial tests were conducted on sandy soil and silty sand specimens. Comparison of the energy required to initiate liquefaction in the tested soil specimens with values predicted by the developed model indicated high accuracy of the energy-based model. Subsequently, the accuracy of the energy model was assessed in field conditions using the amount of strain energy released by real earthquakes in various sites. The ability of the model to distinguish liquefied areas from non-liquefied ones confirms its accuracy in field conditions. Finally, the developed model was compared with some available relationships to estimate the strain energy required for liquefaction to occur.
引用
收藏
页码:1697 / 1708
页数:11
相关论文
共 50 条
  • [41] Determination of seismic liquefaction potential of soil based on strain energy concept
    Samui, Pijush
    Kim, Dookie
    Hariharan, R.
    ENVIRONMENTAL EARTH SCIENCES, 2015, 74 (07) : 5581 - 5585
  • [42] Energy-based evaluation of liquefaction potential of uniform sands
    Sonmezer, Yetis Bulent
    GEOMECHANICS AND ENGINEERING, 2019, 17 (02) : 145 - 156
  • [43] Application of machine learning algorithms for the evaluation of seismic soil liquefaction potential
    Ahmad, Mahmood
    Tang, Xiao-Wei
    Qiu, Jiang-Nan
    Ahmad, Feezan
    Gu, Wen-Jing
    FRONTIERS OF STRUCTURAL AND CIVIL ENGINEERING, 2021, 15 (02) : 490 - 505
  • [44] Application of machine learning algorithms for the evaluation of seismic soil liquefaction potential
    Mahmood Ahmad
    Xiao-Wei Tang
    Jiang-Nan Qiu
    Feezan Ahmad
    Wen-Jing Gu
    Frontiers of Structural and Civil Engineering, 2021, 15 : 490 - 505
  • [45] Evaluation of Liquefaction Potential of Kolkata City, India: A Deterministic Approach
    Lily Gurung
    Kaustav Chatterjee
    Pure and Applied Geophysics, 2023, 180 : 439 - 474
  • [46] Probabilistic evaluation of seismic soil liquefaction potential based on SPT data
    Vipin, K. S.
    Sitharam, T. G.
    Anbazhagan, P.
    NATURAL HAZARDS, 2010, 53 (03) : 547 - 560
  • [47] Application of machine learning algorithms for the evaluation of seismic soil liquefaction potential
    Mahmood AHMAD
    XiaoWei TANG
    JiangNan QIU
    Feezan AHMAD
    WenJing GU
    Frontiers of Structural and Civil Engineering, 2021, (02) : 490 - 505
  • [48] Probabilistic evaluation of seismic soil liquefaction potential based on SPT data
    K. S. Vipin
    T. G. Sitharam
    P. Anbazhagan
    Natural Hazards, 2010, 53 : 547 - 560
  • [49] Evaluation of Liquefaction Potential of Soil at a Power Plant Site in Chittagong, Bangladesh
    Sengupta, Soumyadeep
    Kolathayar, Sreevalsa
    INTERNATIONAL JOURNAL OF GEOTECHNICAL EARTHQUAKE ENGINEERING, 2020, 11 (01) : 1 - 16
  • [50] Evaluation of Liquefaction Potential in Saturated Sand under Different Drainage Boundary Conditions-An Energy Approach
    Yao, Chang-Rui
    Wang, Bo
    Liu, Zhi-Qiang
    Fan, Hao
    Sun, Fang-Hao
    Chang, Xin-Hao
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2019, 7 (11)